Credit Risk Analyst with German w Kraków, Polska

• Fluency in English (C1 level or higher) and ability to communicate in German
• Completed or near completion of higher education in mathematics, econometrics, statistics, finance, or computer science
• Applied and proven knowledge of statistics
• Practical knowledge of credit risk modeling concepts (IFRS 9 and/or AIRB methods, credit risk management processes)
• Profound knowledge of Microsoft Office Suite (especially PowerPoint/Excel)
• Interest in topic development and active participation in the German FS-Risk practice teams
• Availability for occasional business travel to Germany
• Willingness to learn new skills, proactive and problem-solving characteristics
• Open, proactive, and honest communication style
• Structured, self-organized work approach with high-quality results
• Experience in the financial sector (e.g., banking, insurance, other consulting firms) and knowledge of programming languages (C#, Python, SQL, R, Matlab, SAS) and data science packages (tidyverse, sklearn, https://jobeax.com/link/MgSNczSLcfS8zRxM) are a plus

Location : Poland

Contract Type: Permanent

Remote Status : Hybrid

• Join a global network of firms providing professional services across assurance, tax, and advisory
• Develop and enhance credit risk methodologies and models in a collaborative international environment
• Comprehensive benefits package including hybrid working, learning and development support, and wellbeing programs
• Build strong client relationships and cooperate with colleagues from the PwC Network, especially PwC Germany

Our client, a leading global professional services network, is seeking a Credit Risk Team Member with German language skills to join their dynamic team in Warsaw, Poland. This is an exciting opportunity for a highly analytical individual to develop their expertise in credit risk methodologies and models while working with a renowned international network.

Position Overview

As a Credit Risk Team Member, you will play a crucial role in developing, documenting, reviewing, and enhancing credit risk methodologies and models. Your work will involve carrying out model validation projects, responding to ad-hoc analysis requests, and providing best practice guidance on credit risk governance frameworks. You will have the opportunity to build strong relationships with clients and collaborate closely with colleagues from across the PwC Network, particularly those in Germany.

Benefits

• Hybrid working model, flexible start times, workation, and sabbatical leave
• Onboarding, mentoring, training, workshops, co-financed certifications, and conversations with native speakers for development and upskilling
• Medical care package, physiotherapy, dental care discounts, mindfulness, psychological support, and financial/legal counseling
• Individual benefits packages (e.g., lunch pass, concierge, veterinary package, massages)
• Cafeteria with vouchers and discounts on IT equipment and car purchases
• 3 paid hours for volunteering per month and an additional paid Birthday Day off

Alongside this comprehensive benefits package, you'll be immersed in an environment that encourages open, proactive, and honest communication, values a structured and self-organized work approach, and fosters continuous learning and skill development. You'll have the opportunity to collaborate with colleagues from across the PwC Network, especially those in Germany, while building strong client relationships.

,[Develop, document, review, and enhance credit risk methodologies (e.g., IFRS 9, AIRB, stress tests) and models (PD, LGD, EAD, credit scoring models), Carry out projects related to model validation or performance assessment/monitoring, Respond to ad-hoc analysis requests with a clear understanding of risk-specific measurements, Review and provide best practice guidance on credit risk governance, policy, and procedure frameworks, Build and maintain strong relationships with new and established clients, Cooperate daily with colleagues from the PwC Network, especially PwC Germany] Requirements: IFRS, risk management, PowerPoint, Excel, C#, Python, SQL, R, MATLAB, SAS, Data science